PDF-RankingBased Clustering of Heterogeneous Information Networks with Star Network Schema

edu yintaouiucedu hanjcsuiucedu ABSTRACT A heterogeneous information network is an information network composed of multiple types of objects Cluster ing on such a network may lead to better understanding of both hidden structures of the network and t. J Watson Research Center College of Computer and Information Science Northeastern University Computer Science Department Univerisity of Illinois at UrbanaChampaign zhangb8huangh9panx2jihyener rpiedu knightisiedu zhenwenusibmcom yzsunccsneuedu hanjil Aggarwal Jiawei Han University of Illinois at UrbanaChampaign Urbana IL IBM T J Watson Research Center Hawthorne NY sun22 barber5 gupta58 hanj illinoisedu charuusibmcom Abstract The problem of predicting links or interactions between objects in a ne uiucedu Jiawei Han UIUC hanjcsuiucedu Philip S Yu IBM T J Watson Res Center psyuusibmcom ABSTRACT The worldwide web has become the most important infor mation source for most of us Unfortunately there is no guarantee for the correctness of informatio Not. a buzzword. Too many successful applications. Network motifs in biology. “Communities” and . clusterings. of various kinds. Social network phenomena. …. Does not mean it is not invoked as a buzzword. Chapter 4. 1. Chapter 4, . Community Detection and Mining in Social Media.  Lei Tang and Huan Liu, Morgan & Claypool, September, 2010. . Heterogeneous Networks. 2. Multi-Dimensional Networks. Communications in social media are . SUN SUN SUN SUN SUN SUN MON MON MON MON MON MON TUE TUE TUE TUE TUE TUE WED WED WED WED WED WED THU THU THU THU THU THU FRI FRI FRI FRI FRI FRI APRIL JUNE AUGUST MAY JULY SEPTEMBER SAT SAT SAT SAT SAT Jonathan Kuck. 1. , . Honglei. Zhuang. 1. , . Xifeng. Yan. 2. , Hasan Cam. 3. , . Jiawei. Han. 1. 1. University of Illinois at Urbana-Champaign. 2. University of California at Santa Barbara. 3. US Army Research Lab. The Sun and Other Stars. A . star. is a huge ball of superheated gases. . The sun is a star in the center of our solar system. The source of most of the energy on Earth- we would not exist without it. Yifei Lu. 1. ,. Wei Wang. 1. ,. . Jianxin. Li. 2. . and. . Chengfei. Liu. 2. 1 . University of New South . Wales. 2 . Swinburne University of Technology. XML Keyword Search. 2. Query: . jiawi. . Brewer and . Treyens. (1981) aimed to investigate whether people’s memory for objects in an office is influenced by existing schemas about what is expected in an office.. 30 college students were brought individually into a laboratory and were asked to wait in an office containing dozens of objects, including typical office objects (a typewriter, desk, coffeepot and calendar) and atypical objects (a skull, piece of bark, pair of pliers).. Unsupervised . learning. Seeks to organize data . into . “reasonable” . groups. Often based . on some similarity (or distance) measure defined over data . elements. Quantitative characterization may include. Ari Zitin (University of North Carolina), Alex . Gorowara. (Worcester Polytechnic Institute). S. Squires, M. Herrera, T. . Antonsen. , M. Girvan, E. . Ott. (University of Maryland). Image Credit to transductions.net. 1. Mark Stamp. K-Means for Malware Classification. Clustering Applications. 2. Chinmayee. . Annachhatre. Mark Stamp. Quest for the Holy . Grail. Holy Grail of malware research is to detect previously unseen malware. What is clustering?. Grouping set of documents into subsets or clusters.. The Goal of clustering algorithm is:. To create clusters that are coherent internally, but clearly different from each other.